Gemini 2.5 Flash vs GLM 5.2

At a Glance

Compare
Gemini 2.5 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#12 of 44$0.056 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Google AI · Aug 29, 2026$0.75Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$2.50Google AI · Aug 29, 2026$2.40Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens1,049K1,049K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkGemini 2.5 FlashGLM-5.2
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,417.2797% of row best · rating · gemini-2.5-flash; 95% CI [1414.83704531, 1419.70406968]; votes 122732; rank 1161,466.93100% of row best · rating · glm-5.2-max; 95% CI [1462.35303996, 1471.51268346]; votes 36798; rank 29
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified72.1788% of row best · points · Gemini 2.5 Flash · 4,399 output tokens / case82.14100% of row best · points · GLM-5.2 · 5,633 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldGemini 2.5 FlashGLM-5.2
DeveloperGoogle DeepMindZ.ai
FamilyGemini 2 5Glm 5 2
ModelGemini 2.5 FlashGLM-5.2
VersionGemini 2.5 FlashGLM-5.2
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window1,049K1,049K
Total parametersUnknown753.3B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Gemini 2.5 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-flash

GLM 5.2 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDzai-org/GLM-5.2

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Flash vs GLM 5.2 FAQs

Is Gemini 2.5 Flash or GLM 5.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Flash and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Flash or GLM 5.2?+

Gemini 2.5 Flash is $0.30 and GLM 5.2 is $0.75 per million tokens, so Gemini 2.5 Flash is cheaper on this metric. Gemini 2.5 Flash is $2.50 and GLM 5.2 is $2.40 per million tokens, so GLM 5.2 is cheaper on this metric.

Which has a larger context window, Gemini 2.5 Flash or GLM 5.2?+

Neither model has a larger sourced context window in this comparison. Gemini 2.5 Flash is 1,049K and GLM 5.2 is 1,049K.

Which performs better in benchmarks, Gemini 2.5 Flash or GLM 5.2?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemini 2.5 Flash or GLM 5.2 be self-hosted?+

GLM 5.2 is the only model in this pair currently marked as self-hostable. Gemini 2.5 Flash is not marked open weight; GLM 5.2 is open weight.

Can Gemini 2.5 Flash and GLM 5.2 understand images?+

Gemini 2.5 Flash is documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 2.5 Flash or GLM 5.2?+

Neither has a larger sourced maximum output. Gemini 2.5 Flash is 66K and GLM 5.2 is —.

Do Gemini 2.5 Flash and GLM 5.2 support reasoning and tool use?+

Gemini 2.5 Flash: reasoning, tool calling, and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 2.5 Flash or GLM 5.2?+

Gemini 2.5 Flash has 2 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.

Which offers better value, Gemini 2.5 Flash or GLM 5.2?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

Send Feedback